AIMC Topic: Child Abuse

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Using explainable machine learning to investigate the relationship between childhood maltreatment, positive psychological traits, and CPTSD symptoms.

European journal of psychotraumatology Feb 26, 2025
The functional impairment resulting from CPTSD symptoms is enduring and far-reaching. Existing research has found that CPTSD symptoms are closely associated with childhood maltreatment; however, researchers debate whether CPTSD symptoms are predomin...
Humans Machine Learning Female Adolescent Child Stress Disorders, Post-Traumatic Child Abuse Male China Surveys and Questionnaires
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Factors Associated with Abusive Head Trauma in Young Children Presenting to Emergency Medical Services Using a Large Language Model.

Prehospital emergency care Jan 17, 2025
OBJECTIVES: Abusive head trauma (AHT) is a leading cause of death in young children. Analyses of patient characteristics presenting to Emergency Medical Services (EMS) are often limited to structured data fields. Artificial Intelligence (AI) and Larg...
Large Language Models Craniocerebral Trauma Child Abuse Female Male Infant Child, Preschool Emergency Medical Services Natural Language Processing Humans Artificial Intelligence Retrospective Studies
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Using supervised machine learning and ICD10 to identify non-accidental trauma in pediatric trauma patients in the Maryland Health Services Cost Review Commission dataset.

Child abuse & neglect Jan 11, 2025
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We developed a machine learning model that uses demographic characteristics and ICD10 codes to detect the first diagnosis of NAT.
Humans Machine Learning Female Infant Adolescent Child, Preschool Child Infant, Newborn Young Adult Male Maryland Child Abuse Supervised Machine Learning International Classification of Diseases Wounds and Injuries
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Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females.

Scientific reports Jan 3, 2025
Childhood abuse represents one of the most potent risk factors for the development of psychopathology during childhood, accounting for 30-60% of the risk for onset. While previous studies have separately associated reductions in gray matter volume (G...
Neural Networks, Computer Psychopathology Humans Machine Learning Models, Psychological Adolescent Female Child Abuse Cohort Studies Gray Matter
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Case reports unlocked: Harnessing large language models to advance research on child maltreatment.

Child abuse & neglect Dec 16, 2024
BACKGROUND: Research on child protective services (CPS) is impeded by a lack of high-quality structured data. Crucial information on cases is often documented in case files, but only in narrative form. Researchers have applied automated language proc...
Child Abuse Child Child Protective Services Natural Language Processing Large Language Models Humans
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Using machine learning modeling to identify childhood abuse victims on the basis of personality inventory responses.

Journal of psychiatric research Oct 1, 2024
Trauma is very common and associated with significant co-morbidity world-wide, particularly PTSD and frequently other mental health disorders. However, it can be challenging to identify victims of abuse as self-reports can be difficult to elicit due ...
Child Child Abuse Personality Inventory Humans Male Adolescent Machine Learning Female
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Using natural language processing to identify child maltreatment in health systems.

Child abuse & neglect Feb 8, 2023
BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower than national child welfare prevalence rates indicate. There is a need to understand how CM is documented to improve reporting and surveillance.
Infant Adolescent Child, Preschool Child Natural Language Processing International Classification of Diseases Electronic Health Records Female Infant, Newborn Humans Child Abuse Washington
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Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse.

Academic pediatrics Nov 12, 2021
OBJECTIVES: Medically minor but clinically important findings associated with physical child abuse, such as bruises in pre-mobile infants, may be identified by frontline clinicians yet the association of these injuries with child abuse is often not r...
Natural Language Processing Child Abuse Sensitivity and Specificity Humans Algorithms Infant Electronic Health Records Child
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Towards artificial intelligence for identifying cases of suspected maltreatment in paediatric burns.

Burns : journal of the International Society for Burn Injuries May 15, 2021
Child Burns Child Abuse Humans Artificial Intelligence Surveys and Questionnaires
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Detecting substance-related problems in narrative investigation summaries of child abuse and neglect using text mining and machine learning.

Child abuse & neglect Sep 12, 2019
BACKGROUND: State child welfare agencies collect, store, and manage vast amounts of data. However, they often do not have the right data, or the data is problematic or difficult to inform strategies to improve services and system processes. Considera...
Narration Mental Disorders Child Abuse Humans Computer Simulation Feasibility Studies Child Welfare Machine Learning Child Child Protective Services Data Mining Algorithms
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